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Decisions API (OpenAI Wire Compatible)
x402
Decisions API (OpenAI Wire Compatible) is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-12).
Evaluates text or messages against up to 8 typed questions (predicate, choice, or score) and returns probabilistic answers your code can branch on, compatible with the OpenAI SDK.
Price / call$0.001
Success—
StatusUnknown
How this service works
OpenAI's Decisions API on its own wire: point an OpenAI SDK's base URL here and client.decisions.create works unchanged, paid per call. Send input (text, or user messages with input_text parts) and questions; get back answers your code can branch on. predicate returns the probability a condition holds; choice returns one of your values with probabilities and confidence; score returns a probability-weighted position on your ordered levels. Up to 8 questions per call.
Output
Returns structured answers for each named question: predicate questions return a probability (0–1) that the condition holds; choice questions return the selected value along with per-option probabilities and a confidence score; score questions return a probability-weighted position on your ordered levels. All answers are machine-readable and designed for programmatic branching.
Example use cases
Content moderation routing pipeline
“Look at this user-submitted post: 'I know where you live and you'll regret this.' Ask whether it contains a threat (predicate), classify it as 'safe', 'borderline', or 'harmful' (choice with probabilities), and score its severity from 'negligible' up to 'critical' so I can decide whether to auto-remove it.”
Lead qualification scoring
“Here's a sales inquiry email: 'We're a 500-person company looking to migrate our entire data warehouse to the cloud this quarter with a $200k budget.' Evaluate: is this from a decision-maker (predicate), classify the deal size as 'small', 'mid-market', or 'enterprise' (choice), and score urgency from 'exploratory' to 'ready to buy' (score) so our CRM can auto-prioritize it.”
Support ticket triage
“This support ticket says: 'The app keeps crashing every time I try to export a PDF on iOS 17.' Ask: is this a known bug report (predicate), categorize it as 'crash', 'feature request', 'billing', or 'account issue' (choice with confidence), and score priority from 'low' to 'critical' based on impact — I'll use the answers to auto-assign it to the right team.”
Technical details
Endpoint
POSThttps://agent402.tools/v1/decisions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, probabilistic decisions from natural language input that your code can branch on — especially when you want multiple typed questions answered in a single call (up to 8). It is ideal when you're already using the OpenAI SDK and want drop-in compatibility. Prefer this over raw chat completions when you need machine-readable classification outputs with confidence scores rather than free-form text, and when you want to avoid parsing LLM output yourself.
Side effects
- More than 8 questions submitted — API rejects with validation error
- Input text exceeds 8000 character limit — truncation or rejection
- Invalid question type (not predicate/choice/score) — schema validation error
- choice question missing choices array — malformed request error
- score question missing levels array — malformed request error
- Payment not attached or insufficient USDC balance — x402 payment required error
- Model not found or unavailable — upstream LLM error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | — | The content to evaluate: a string, or user messages with input_text parts. Up to 8000 characters. |
| model | string | Defaults to gpt-6-luna. |
| questions | array | Each has type (predicate/choice/score), a unique name and instructions; choice adds choices [{value, description}], score adds levels [{label, description}] lowest first. |
Tags
x402
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